Syllabus
Course Code: MTCE-118 Course Name: Social Networks Lab |
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MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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1 | Write a python program to remove an item from tuple and merge three dictionaries. | |
2 | Write a python program to construct pyramids of stars (*) and numbers using nested for loop. | |
3 | Write a python function to check whether a number is perfect or not and use filter function to print vowels from a given list. | |
4 | Write a python program to estimate coefficients of an equation using linear regression model. | |
5 | Write a python program to predict gender of a person if heigth, weight and shoe size are given using any four supervised learning algorithms. | |
6 | Write a python program to find noun, verb and adjective in a given sentence. | |
7 | Write a python program to calculate frequency of each word in a file after removing stopwords from it. | |
8 | Write a program to for analyzing the behaviour (i.e. check whether a tweet is of positive, negative, or compound nature) of tweets and plot the results. | |
9 | Write a program to sort the list of numbers using shell sort. | |
10 | Write a python program to predict gender of a person from his/her name | |
11 | Write a python program to make a prediction about a movie from its review. | |
12 | Write a program to plot the image in PNG format using matplotlib for average, max, and min of the data taken from a CSV file. | |
13 | Write a program for classifying the text using NLTK. | |
14 | Write a python program to guess behavior of a person. | |
15 | Write a python program to print trending and common trends tweets in world,us and india. | |
16 | Write a python program to use hashtag as basis of search query to fetch some tweets for further analysis. | |
17 | Write a python program extract twitter entities such as hashtags, screen names. | |
18 | Write a python program to clean any given dataset. | |
19 | Write a python program to visualize a data using histogram, boxplot and scatter plot matrix. | |
20 | Write a program for sentiment analysis of tweets (i.e. polarity and subjectivity). |